Waystar

Waystar is a publicly traded healthcare payments company, listed on Nasdaq as WAY and headquartered across Lehi, Utah and Louisville, Kentucky under chief executive Matt Hawkins. It runs cloud native revenue cycle software spanning claims, denials, prior authorisation, coding, charge capture and patient payments, and its distinguishing asset is scale rather than novelty: more than 7.5 billion annual transactions and roughly one in three United States hospital discharges pass through it.

In January 2026 it introduced agentic intelligence to that platform under the AltitudeAI brand, describing an end to end agentic network that continuously acts within workflows, executes defined tasks and learns from outcomes with minimal intervention. The specific agent powered workflows are concrete: expediting prior authorisations by generating proactive clinical justification, preventing denials through integrated documentation, coding and charge capture checks, and automatically recommending claim corrections drawn from historical denial insights. AltitudeCreate generates appeal letters autonomously.

The outcome numbers are vendor reported but unusually specific and repeated across investor communications: AltitudeAI is credited with preventing $15.5 billion in denials in under a year and cutting time spent on denial appeals and recovery by 90 percent. Waystar frames the data network itself as the moat, unifying proprietary clinical, financial and administrative intelligence at a scale competitors cannot assemble, and has expanded an agentic AI collaboration with Google Cloud to build on it. Spring 2026 additions extended AltitudeAI into the patient side, dynamically generating personalised payment and discount offers in a self service payment experience.

For buyers the trade offs are the usual incumbent ones. Compliance is broad, covering HIPAA, HITRUST, SOC 2 and PCI DSS, and G2 scores rate ease of use and claims automation highly. Pricing is custom and quote only. Reviewers note that rejection and denial information before AltitudeAI was sometimes limited or hard to decipher, which is worth probing since the agentic layer is precisely what is meant to have fixed that.